Dear Tutors,
A rather general question, I'm afraid. I have found myself writing some python
code to handle some CSV data, using the csv. DictReader that generates a dict
for each row with the key as the column heading and the value in the file as
the item. Most operations involve code of the form: (Apologies for incorrect
caps)
For row in reader:
If row['foo'] == 'something' :
do this etc.
Typically I'm checking some form of consistency, or adding an element to the
row based on something in the row.
I know about the existence of awk/ sed etc. Which could do some of this, but I
ran into some problems with date manipulation, etc that they don't seem to
handle very well.
I wanted to ask if anyone knew of anything similar, as I'm worried about
re-inventing the wheel. One option would be to use (e.g.) sqlite and then use
select/ insert commands, but personally I'd much rather write conditions in
python than sql.
My other question was about how I do this more efficiently: I don't want to
read the whole thing into memory at once, but (AFAIK) csv.DictReader doesn't
support something like readline() to deliver it one at a time.
Any comments gratefully received.
Matt
Sent from my BlackBerry® wireless device
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